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» A Novel Monte Carlo Noise Reduction Operator
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CGA
2005
14 years 9 months ago
A Novel Monte Carlo Noise Reduction Operator
A novel Monte Carlo noise reduction operator is proposed in this paper. We apply and extend the standard bilateral filtering method and build a new local adaptive noise reduction k...
Ruifeng Xu, Sumanta N. Pattanaik
ICASSP
2008
IEEE
15 years 3 months ago
Blind optimization of algorithm parameters for signal denoising by Monte-Carlo SURE
We consider the problem of optimizing the parameters of an arbitrary denoising algorithm by minimizing Stein’s Unbiased Risk Estimate (SURE) which provides a means of assessing ...
Sathish Ramani, Thierry Blu, Michael Unser
CGF
2010
111views more  CGF 2010»
14 years 9 months ago
Density-based Outlier Rejection in Monte Carlo Rendering
The problem of noise in Monte-Carlo rendering arising from estimator variance is well-known and well-studied. In this work, we concentrate on identifying individual light paths as...
Christopher DeCoro, Tim Weyrich, Szymon Rusinkiewi...
ICPR
2008
IEEE
15 years 10 months ago
An adaptive Monte Carlo approach to nonlinear image denoising
This paper introduces a novel stochastic approach to image denoising using an adaptive Monte Carlo scheme. Random samples are generated from the image field using a spatially-adap...
Alexander Wong, Akshaya Kumar Mishra, Paul W. Fieg...
ISCAS
2008
IEEE
122views Hardware» more  ISCAS 2008»
15 years 3 months ago
A nano-CMOS process variation induced read failure tolerant SRAM cell
— In a nanoscale technology, memory bits are highly susceptible to process variation induced read/write failures. To address the above problem, in this paper a new memory cell is...
Jawar Singh, Jimson Mathew, Saraju P. Mohanty, Dhi...